Results 31 to 40 of about 1,543 (284)
JRST: Jurnal Riset Sains dan Teknologi, 2023 This study employs regression analysis to investigate the relationships between carbon dioxide levels, sunspot occurrences, and global temperatures, encompassing both land and sea.
Budiman Nasution +3 more
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Time series modelling of Annual Maximum Sunspot Numbers [PDF]
, 2010 We consider the prediction of Solar cycles from the sunspot numbers (yearly averages and extreme values) based on an AR model. We focus on a time series of annual maximum sunspot numbers, and we also consider the estimation of a probability distribution ...
Tanaka, Minoru
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Productivity of dairy cows and quality of milk-raw material with different cosmophysic activity
RUDN Journal of Agronomy and Animal Industries, 2018 The results of studies on the relationship between cosmophysical activity and animal productivity (the rhythm of milk yield of cows and the chemical composition of milk, the biochemical composition of raw milk) are presented. It was found that during the
A A Nikishov +3 more
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Sunspot Number Second Differences as a Precursor of the Following 11-year Sunspot Cycle [PDF]
The Astrophysical Journal, 2017 Abstract Forecasting the strength of the sunspot cycle is highly important for many space weather applications. Our previous studies have shown the importance of sunspot number variability in the declining phase of the current 11-year sunspot cycle to predict the strength of the next cycle when the minimum of the current cycle has been ...
Tatiana Podladchikova +2 more
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, 2002 Sunspot drawings are provided on a regular basis at the Kanzelhöhe Solar Observatory, Austria, and the derived relative sunspot numbers are reported to the Sunspot Index Data Center in Brussels.
M. Temmer, A. Hanslmeier, A. Veronig
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On forecasting the sunspot numbers
Solar Physics, 1990 We have applied a technique recently proposed basing on learning nonlinear dynamics locally to describe the annual sunspot relative numbers. It is proved that the number of past points for prediction should be greater than 4 but less than 10. This rather simple approach yields in average relatively good results for short-term forecasts (< 11 yr ...
J. Kurths, A. A. Ruzmaikin
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Quantitative Forecasting of Sunspot Numbers: Statistical Methods and Deep Learning Models [PDF]
EPJ Web of ConferencesForecasting sunspot numbers is fundamental for understanding solar variability and its implications for space weather. However, most existing studies predominantly rely on Total Sunspot Number (TSN), thereby neglecting hemispheric asymmetry and limiting ...
Singha Tiasha +3 more
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Letter to the Editor
On the use of the sunspot number for the estimation of past solar and upper atmosphere conditions from historical and modern auroral observations [PDF]
Annales Geophysicae, 2005 In this short contribution the use of different sunspot numbers for the estimation of past solar and upper atmosphere conditions from historical and modern auroral observations realised by Schröder et al. (2004) is analysed.
Vaquero
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SPECTRAL ESTIMATION OF TIME SERIES
Современная наука и инновации, 2022 As a result of spectral analysis, namely, the fast Fourier transform (FFT) method, the wavelet transform method, the Hilbert-Huang transform method, certain periods of the time series representing the monthly average values of the sunspot numbers were ...
L. N. Dzhimbeeva +5 more
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Does sunspot numbers cause global temperatures? A reconsideration using non-parametric causality tests [PDF]
, 2016 In a recent paper, Gupta et al., (2015), analyzed whether sunspot numbers cause global temperatures based on monthly data covering the period 1880:1-2013:9.
Hassani, Hossein +3 more
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